Nodal price simulation in competitive electricity markets

Locational Marginal Prices (LMP) are important pricing signals for the participants of competitive electricity markets, as the effects of transmission losses and binding constraints are embedded in LMPs [1],[2]. This paper presents a software tool that evaluates the nodal marginal prices considering losses and congestion. The initial dispatch is based on all the electricity transactions negotiated in the pool and in bilateral contracts. It must be checked if the proposed initial dispatch leads to congestion problems; if a congestion situation is detected, it must be solved. An AC power flow is used to verify if there are congestion situations in the initial dispatch. Whenever congestion situations are detected, they are solved and a feasible dispatch (re-dispatch) is obtained. After solving the congestion problems, the simulator evaluates LMP. The paper presents a case study based on the the 118 IEEE bus test network.

Dgenco market balancing - cost repartition under light regulation markets

In this paper we present a new methodology, based in game theory, to obtain the market balancing between Distribution Generation Companies (DGENCO), in liberalized electricity markets. The new contribution of this methodology is the verification of the participation rate of each agent based in Nucléolo Balancing and in Shapley Value. To validate the results we use the Zaragoza Distribution Network with 42 Bus and 5 DGENCO.

A long-term swarm intelligence hedging tool applied to electricity markets

This paper proposes a swarm intelligence long-term hedging tool to support electricity producers in competitive electricity markets. This tool investigates the long-term hedging opportunities available to electric power producers through the use of contracts with physical (spot and forward) and financial (options) settlement. To find the optimal portfolio the producer risk preference is stated by a utility function (U) expressing the trade-off between the expectation and the variance of the return. Variance estimation and the expected return are based on a forecasted scenario interval determined by a long-term price range forecast model, developed by the authors, whose explanation is outside the scope of this paper. The proposed tool makes use of Particle Swarm Optimization (PSO) and its performance has been evaluated by comparing it with a Genetic Algorithm (GA) based approach. To validate the risk management tool a case study, using real price historical data for mainland Spanish market, is presented to demonstrate the effectiveness of the proposed methodology.

Criação de valor, gestão de risco e as medidas de performance ajustadas ao risco: aplicação do RAROC - Risk Adjustment Return on Capital - ao grupo crédito agrícola

Mestrado em Contabilidade e Gestão das Instituições Financeiras

Electricity markets: transmission prices methods

In the context of electricity markets, transmission pricing is an important tool to achieve an efficient operation of the electricity system. The electricity market is influenced by several factors; however the transmission network management is one of the most important aspects, because the network is a natural monopoly. The transmission tariffs can help to regulate the market, for this reason transmission tariffs must follow strict criteria. This paper presents the following methods to tariff the use of transmission networks by electricity market players: Post-Stamp Method; MW-Mile Method Distribution Factors Methods; Tracing Methodology; Bialek’s Tracing Method and Locational Marginal Price. A nine bus transmission network is used to illustrate the application of the tariff methods.

A long-term risk management tool for electricity markets using swarm intelligence

This paper addresses the optimal involvement in derivatives electricity markets of a power producer to hedge against the pool price volatility. To achieve this aim, a swarm intelligence meta-heuristic optimization technique for long-term risk management tool is proposed. This tool investigates the long-term opportunities for risk hedging available for electric power producers through the use of contracts with physical (spot and forward contracts) and financial (options contracts) settlement. The producer risk preference is formulated as a utility function (U) expressing the trade-off between the expectation and the variance of the return. Variance of return and the expectation are based on a forecasted scenario interval determined by a long-term price range forecasting model. This model also makes use of particle swarm optimization (PSO) to find the best parameters allow to achieve better forecasting results. On the other hand, the price estimation depends on load forecasting. This work also presents a regressive long-term load forecast model that make use of PSO to find the best parameters as well as in price estimation. The PSO technique performance has been evaluated by comparison with a Genetic Algorithm (GA) based approach. A case study is presented and the results are discussed taking into account the real price and load historical data from mainland Spanish electricity market demonstrating the effectiveness of the methodology handling this type of problems. Finally, conclusions are dully drawn.

O impacto da entrada das agências de rating nos países emergentes: estudo comparativo Brasil/Angola

Mestrado em Contabilidade e Gestão das Instituições Financeiras

AI in power systems and energy markets

In a world increasingly conscientious about environmental effects, power and energy systems are undergoing huge transformations. Electric energy produced from power plants is transmitted and distributed to end users through a power grid. The power industry performs the engineering design, installation, operation, and maintenance tasks to provide a high-quality, secure energy supply while accounting for its systems’ abilities to withstand uncertain events, such as weather-related outages. Competitive, deregulated electricity markets and new renewable energy sources, however, have further complicated this already complex infrastructure.Sustainable development has also been a challenge for power systems. Recently, there has been a signifi cant increase in the installation of distributed generations, mainly based on renewable resources such as wind and solar. Integrating these new generation systems leads to more complexity. Indeed, the number of generation sources greatly increases as the grid embraces numerous smaller and distributed resources. In addition, the inherent uncertainties of wind and solar energy lead to technical challenges such as forecasting, scheduling, operation, control, and risk management. In this special issue introductory article, we analyze the key areas in this field that can benefi t most from AI and intelligent systems now and in the future.We also identify new opportunities for cross-fertilization between power systems and energy markets and intelligent systems researchers.

Commercial agents portfolio optimization in electricity markets

As it is well known, competitive electricity markets require new computing tools for power companies that operate in retail markets in order to enhance the management of its energy resources. During the last years there has been an increase of the renewable penetration into the micro-generation which begins to co-exist with the other existing power generation, giving rise to a new type of consumers. This paper develops a methodology to be applied to the management of the all the aggregators. The aggregator establishes bilateral contracts with its clients where the energy purchased and selling conditions are negotiated not only in terms of prices but also for other conditions that allow more flexibility in the way generation and consumption is addressed. The aggregator agent needs a tool to support the decision making in order to compose and select its customers' portfolio in an optimal way, for a given level of profitability and risk.

Estudo empírico sobre os determinantes da estrutura de capital em Portugal

Dissertação de Mestrado, Ciências Económicas e Empresariais, 13 de Dezembro de 2012, Universidade dos Açores.

Sraffa on Fixed Capital, Money and the Phases of Capitalism

Copyright © 2014 Taylor & Francis.

Capital social y promoción de la salud en América Latina

América Latina enfrenta problemáticas de desarrollo y salud comunes. La equidad y la superación de la pobreza son cruciales en la búsqueda de soluciones integrales y de alto impacto. El artículo analiza el concepto de capital social, su relación con salud, sus limitaciones y potencialidades, desde una perspectiva de desarrollo comunitario y promoción de salud en América Latina. También, se identifican desafíos prioritarios, como la medición y fortalecimiento del capital social. Se discute cómo y por qué el capital social pudiera ser crítico en una estrategia global de promoción de la salud, donde el empoderamiento y la participación comunitaria, el trabajo interdisciplinario e intersectorial permitirían avanzar en los objetivos de salud pública y en la concreción de un cambio social sustentable. Igualmente, se identifican algunas de las potenciales limitaciones del concepto de capital social en el contexto de promoción de la salud en América Latina.

O equilibrio do capital: panorama científico, histórico, e doutrinal da análise contábil e consultoria superior

O equilíbrio do capital é um estado por excelência estudado pelos diversos cientistas de nossa disciplina, sendo que, por sua alta relevância, chegou a ser considerado objeto de estudos da contabilidade, em doutrina contábil específica. Realmente, o ponto de harmonia entre a proporção e o movimento, das principais partes do patrimônio, é, para que toda a organização constituída possua o estado de fortuna e prosperidade. As pesquisas dos grandes doutrinadores da contabilidade brasileira e estrangeira, formam um arcabouço que nos serve de base para a produção de uma consultoria superior que se realiza por meio da análise patrimonial, cuja finalidade é diagnosticar e orientar conforme o caso, as empresas, na correta manutenção dos seus investimentos, financiamentos, custos, receitas e rédito. O objetivo deste artigo é tratar alguns pontos desta doutrina geral, que expõe os princípios do equilíbrio, noção sublime para a formação de orientações especiais, que visam a sanidade do capital ordenadamente constituído.

Informação e conhecimento: fluxos e apropriação sob uma abordagem crítica

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)